GreenPT / greenpt/green-r-raw
Green R Raw - access through LLMTR
Green R Raw is the same reasoning model as Green R, served without the instruction the provider injects server-side, with a 128,000-token context window. The measured difference is large: a one-word request billed 72 input tokens on this row against 8,082 on Green R. If you write your own prompt, this row gives you the same behaviour at a far lower floor. Tool/function calling was verified over a full two-turn loop. It does not accept image input; a request containing an image is refused by LLMTR without being charged. The model reasons by default and those tokens bill as output — on a short question it spent its entire output budget on reasoning, so keep `max_tokens` generous.
Technical specifications
| Canonical ID | greenpt/green-r-raw |
|---|---|
| Provider | GreenPT |
| Context window | 128,000 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $0.427109 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $1.159295 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"greenpt/green-r-raw","messages":[{"role":"user","content":"Hello"}]}'
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